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stsbenchmark-sts – Dataset by mteb | AlphaNeural AI
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mteb
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stsbenchmark-sts
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sentence-similarity
semantic-similarity-scoring
human-annotated
translated
eng
unknown
1K<n<10K
json
text
datasets
pandas
polars
mlcroissant
2502.13595
2210.07316
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mteb
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STSBenchmark An MTEB dataset Massive Text Embedding Benchmark
Semantic Textual Similarity Benchmark (STSbenchmark) dataset.
Task category t2t
Domains Blog, News, Written
Reference
https://github.com/PhilipMay/stsb-multi-mt/
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code: import mteb
task = mteb.get_tasks(["STSBenchmark"]) evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL)… See the full description on the dataset page:
https://huggingface.co/datasets/mteb/stsbenchmark-sts
.
